Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...

The interaction between food systems and spatial planning has become a critical area of research, driven by the urgent need ...

Why are marine species where they are? The scientific community is faced with an urgent need to understand aquatic ecosystem dynamics in the context of global change. This requires development of ...

Combining nuanced statistical methods with a robust parallel computational platform has enabled a modeling scheme that better predicts environmental conditions while being efficient enough to cover ...

The recent COVID-19 pandemic has provided a renewed impetus for empirical research on slow and active modes of transportation, specifically bicycling and walking. Changes in modal choice appear to be ...

The report highlights a growing consensus that AI marks a profound epistemic shift. Rather than acting as neutral computational instruments, AI systems define what is knowable, predictable and ...

IEEE Spatial Web chair George Percivall explains how the recently-approved IEEE P2874 Spatial Web Standard complements existing Web and digital twins’ standards to guide the development of ...

Throughout recorded history, human society has lived with periodic epidemics and pandemics. Numerous disease outbreaks have led to death, societal upheaval, and economic disruption. Predicting how an ...

The Greater Amman Municipality (GAM) launched on Sunday an intensive training program on the Cities Spatial Model, in cooperation with the International Growth Center (IGC), at the London School of ...